mathetes - 8 months ago 366

Python Question

I know how to convert a numpy array into a tensor object with the function

`tf.convert_to_tensor(img.eval())`

My problem is that after I apply some preprocessing to this tensors in terms of brightness, contrast, etc, I would like to view the resulting transformations to evaluate and tweak my parameters.

How can I convert a tensor into a numpy array so I can show it as an image with PIL?

Answer

To convert back from tensor to numpy array you can simply run `.eval()`

on the transformed tensor.

Source (Stackoverflow)